Overview

Dataset statistics

Number of variables7
Number of observations1169
Missing cells779
Missing cells (%)9.5%
Duplicate rows1
Duplicate rows (%)0.1%
Total size in memory64.1 KiB
Average record size in memory56.1 B

Variable types

Categorical3
Text4

Dataset

Description대구광역시_동구_휴게음식점현황_20200515
Author대구광역시 동구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15052655&dataSetDetailId=150526552a60c741ccff7&provdMethod=FILE

Alerts

업종명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
Dataset has 1 (0.1%) duplicate rowsDuplicates
연락처 has 768 (65.7%) missing valuesMissing

Reproduction

Analysis started2023-12-10 17:42:47.672727
Analysis finished2023-12-10 17:42:49.705929
Duration2.03 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
휴게음식점
1169 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row휴게음식점
2nd row휴게음식점
3rd row휴게음식점
4th row휴게음식점
5th row휴게음식점

Common Values

ValueCountFrequency (%)
휴게음식점 1169
100.0%

Length

2023-12-11T02:42:49.881025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:42:50.107234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
휴게음식점 1169
100.0%

업태명
Categorical

Distinct12
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
기타 휴게음식점
579 
커피숍
241 
편의점
119 
일반조리판매
90 
다방
72 
Other values (7)
68 

Length

Max length8
Median length6
Mean length5.7356715
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row과자점
2nd row과자점
3rd row과자점
4th row과자점
5th row기타 휴게음식점

Common Values

ValueCountFrequency (%)
기타 휴게음식점 579
49.5%
커피숍 241
20.6%
편의점 119
 
10.2%
일반조리판매 90
 
7.7%
다방 72
 
6.2%
패스트푸드 33
 
2.8%
전통찻집 10
 
0.9%
키즈카페 8
 
0.7%
아이스크림 5
 
0.4%
푸드트럭 5
 
0.4%
Other values (2) 7
 
0.6%

Length

2023-12-11T02:42:50.389241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타 579
33.1%
휴게음식점 579
33.1%
커피숍 241
13.8%
편의점 119
 
6.8%
일반조리판매 90
 
5.1%
다방 72
 
4.1%
패스트푸드 33
 
1.9%
전통찻집 10
 
0.6%
키즈카페 8
 
0.5%
아이스크림 5
 
0.3%
Other values (3) 12
 
0.7%

업소명
Text

Distinct1150
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
2023-12-11T02:42:51.000438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length25
Mean length8.4260051
Min length1

Characters and Unicode

Total characters9850
Distinct characters638
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1134 ?
Unique (%)97.0%

Sample

1st row던킨도너츠대구롯데마트점
2nd row잇브레드(동호점)
3rd row던킨도너츠(DUNKIN DONUTS)
4th row부산오뎅 호두과자
5th row황떡동구시장점
ValueCountFrequency (%)
gs25 18
 
1.2%
세븐일레븐 17
 
1.1%
coffee 12
 
0.8%
롯데리아 11
 
0.7%
투썸플레이스 10
 
0.6%
주)코리아세븐 9
 
0.6%
이시아폴리스점 8
 
0.5%
씨유 7
 
0.5%
파스쿠찌 7
 
0.5%
마시그래이 7
 
0.5%
Other values (1279) 1446
93.2%
2023-12-11T02:42:52.048284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 437
 
4.4%
383
 
3.9%
스 277
 
2.8%
구 253
 
2.6%
) 241
 
2.4%
( 241
 
2.4%
대 236
 
2.4%
이 203
 
2.1%
피 198
 
2.0%
리 158
 
1.6%
Other values (628) 7223
73.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7680
78.0%
Uppercase Letter 584
 
5.9%
Lowercase Letter 519
 
5.3%
Space Separator 383
 
3.9%
Close Punctuation 241
 
2.4%
Open Punctuation 241
 
2.4%
Decimal Number 177
 
1.8%
Other Punctuation 24
 
0.2%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 437
 
5.7%
스 277
 
3.6%
구 253
 
3.3%
대 236
 
3.1%
이 203
 
2.6%
피 198
 
2.6%
리 158
 
2.1%
커 143
 
1.9%
아 135
 
1.8%
신 134
 
1.7%
Other values (560) 5506
71.7%
Uppercase Letter
ValueCountFrequency (%)
C 93
15.9%
P 54
 
9.2%
S 53
 
9.1%
G 52
 
8.9%
E 37
 
6.3%
O 35
 
6.0%
F 30
 
5.1%
U 28
 
4.8%
A 27
 
4.6%
N 21
 
3.6%
Other values (15) 154
26.4%
Lowercase Letter
ValueCountFrequency (%)
e 94
18.1%
o 58
11.2%
f 51
9.8%
a 42
 
8.1%
c 37
 
7.1%
n 36
 
6.9%
i 26
 
5.0%
s 21
 
4.0%
r 20
 
3.9%
t 17
 
3.3%
Other values (14) 117
22.5%
Decimal Number
ValueCountFrequency (%)
2 68
38.4%
5 54
30.5%
1 10
 
5.6%
3 9
 
5.1%
4 9
 
5.1%
9 9
 
5.1%
0 7
 
4.0%
8 7
 
4.0%
7 2
 
1.1%
6 2
 
1.1%
Other Punctuation
ValueCountFrequency (%)
, 10
41.7%
. 6
25.0%
& 5
20.8%
' 2
 
8.3%
: 1
 
4.2%
Space Separator
ValueCountFrequency (%)
383
100.0%
Close Punctuation
ValueCountFrequency (%)
) 241
100.0%
Open Punctuation
ValueCountFrequency (%)
( 241
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7676
77.9%
Latin 1103
 
11.2%
Common 1067
 
10.8%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 437
 
5.7%
스 277
 
3.6%
구 253
 
3.3%
대 236
 
3.1%
이 203
 
2.6%
피 198
 
2.6%
리 158
 
2.1%
커 143
 
1.9%
아 135
 
1.8%
신 134
 
1.7%
Other values (556) 5502
71.7%
Latin
ValueCountFrequency (%)
e 94
 
8.5%
C 93
 
8.4%
o 58
 
5.3%
P 54
 
4.9%
S 53
 
4.8%
G 52
 
4.7%
f 51
 
4.6%
a 42
 
3.8%
c 37
 
3.4%
E 37
 
3.4%
Other values (39) 532
48.2%
Common
ValueCountFrequency (%)
383
35.9%
) 241
22.6%
( 241
22.6%
2 68
 
6.4%
5 54
 
5.1%
, 10
 
0.9%
1 10
 
0.9%
3 9
 
0.8%
4 9
 
0.8%
9 9
 
0.8%
Other values (9) 33
 
3.1%
Han
ValueCountFrequency (%)
辛 1
25.0%
喜 1
25.0%
美 1
25.0%
茶 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7676
77.9%
ASCII 2170
 
22.0%
CJK 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 437
 
5.7%
스 277
 
3.6%
구 253
 
3.3%
대 236
 
3.1%
이 203
 
2.6%
피 198
 
2.6%
리 158
 
2.1%
커 143
 
1.9%
아 135
 
1.8%
신 134
 
1.7%
Other values (556) 5502
71.7%
ASCII
ValueCountFrequency (%)
383
17.6%
) 241
 
11.1%
( 241
 
11.1%
e 94
 
4.3%
C 93
 
4.3%
2 68
 
3.1%
o 58
 
2.7%
P 54
 
2.5%
5 54
 
2.5%
S 53
 
2.4%
Other values (58) 831
38.3%
CJK
ValueCountFrequency (%)
辛 1
25.0%
喜 1
25.0%
美 1
25.0%
茶 1
25.0%

소재지(도로명)
Text

Distinct1058
Distinct (%)91.4%
Missing11
Missing (%)0.9%
Memory size9.3 KiB
2023-12-11T02:42:52.770921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length51
Mean length30.720207
Min length20

Characters and Unicode

Total characters35574
Distinct characters314
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1023 ?
Unique (%)88.3%

Sample

1st row대구광역시 동구 안심로 80 (율하동)
2nd row대구광역시 동구 동호로5길 2 (신서동)
3rd row대구광역시 동구 동대구로 550, 3층 (신암동, 동대구역)
4th row대구광역시 동구 동대구로 550, 3층 (신암동)
5th row대구광역시 동구 효목로 20 (효목동,101호)
ValueCountFrequency (%)
대구광역시 1158
 
15.7%
동구 1158
 
15.7%
1층 508
 
6.9%
신천동 228
 
3.1%
신암동 146
 
2.0%
동부로 108
 
1.5%
신서동 102
 
1.4%
율하동 95
 
1.3%
149 83
 
1.1%
봉무동 76
 
1.0%
Other values (1071) 3706
50.3%
2023-12-11T02:42:54.020644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6210
17.5%
동 2981
 
8.4%
구 2515
 
7.1%
1 1821
 
5.1%
대 1404
 
3.9%
, 1225
 
3.4%
역 1200
 
3.4%
시 1194
 
3.4%
로 1175
 
3.3%
( 1162
 
3.3%
Other values (304) 14687
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19861
55.8%
Space Separator 6210
 
17.5%
Decimal Number 5688
 
16.0%
Other Punctuation 1231
 
3.5%
Open Punctuation 1162
 
3.3%
Close Punctuation 1162
 
3.3%
Dash Punctuation 168
 
0.5%
Uppercase Letter 58
 
0.2%
Lowercase Letter 21
 
0.1%
Math Symbol 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2981
15.0%
구 2515
12.7%
대 1404
 
7.1%
역 1200
 
6.0%
시 1194
 
6.0%
로 1175
 
5.9%
광 1161
 
5.8%
층 794
 
4.0%
신 697
 
3.5%
길 476
 
2.4%
Other values (262) 6264
31.5%
Uppercase Letter
ValueCountFrequency (%)
A 23
39.7%
B 18
31.0%
C 5
 
8.6%
G 3
 
5.2%
E 1
 
1.7%
V 1
 
1.7%
J 1
 
1.7%
T 1
 
1.7%
K 1
 
1.7%
S 1
 
1.7%
Other values (3) 3
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
e 4
19.0%
l 3
14.3%
p 2
9.5%
i 2
9.5%
s 2
9.5%
w 2
9.5%
t 1
 
4.8%
a 1
 
4.8%
v 1
 
4.8%
h 1
 
4.8%
Other values (2) 2
9.5%
Decimal Number
ValueCountFrequency (%)
1 1821
32.0%
2 778
13.7%
0 542
 
9.5%
4 483
 
8.5%
3 468
 
8.2%
5 438
 
7.7%
6 336
 
5.9%
9 312
 
5.5%
8 261
 
4.6%
7 249
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 1225
99.5%
. 6
 
0.5%
Space Separator
ValueCountFrequency (%)
6210
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1162
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1162
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 168
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19861
55.8%
Common 15634
43.9%
Latin 79
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2981
15.0%
구 2515
12.7%
대 1404
 
7.1%
역 1200
 
6.0%
시 1194
 
6.0%
로 1175
 
5.9%
광 1161
 
5.8%
층 794
 
4.0%
신 697
 
3.5%
길 476
 
2.4%
Other values (262) 6264
31.5%
Latin
ValueCountFrequency (%)
A 23
29.1%
B 18
22.8%
C 5
 
6.3%
e 4
 
5.1%
G 3
 
3.8%
l 3
 
3.8%
p 2
 
2.5%
i 2
 
2.5%
s 2
 
2.5%
w 2
 
2.5%
Other values (15) 15
19.0%
Common
ValueCountFrequency (%)
6210
39.7%
1 1821
 
11.6%
, 1225
 
7.8%
( 1162
 
7.4%
) 1162
 
7.4%
2 778
 
5.0%
0 542
 
3.5%
4 483
 
3.1%
3 468
 
3.0%
5 438
 
2.8%
Other values (7) 1345
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19861
55.8%
ASCII 15713
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6210
39.5%
1 1821
 
11.6%
, 1225
 
7.8%
( 1162
 
7.4%
) 1162
 
7.4%
2 778
 
5.0%
0 542
 
3.4%
4 483
 
3.1%
3 468
 
3.0%
5 438
 
2.8%
Other values (32) 1424
 
9.1%
Hangul
ValueCountFrequency (%)
동 2981
15.0%
구 2515
12.7%
대 1404
 
7.1%
역 1200
 
6.0%
시 1194
 
6.0%
로 1175
 
5.9%
광 1161
 
5.8%
층 794
 
4.0%
신 697
 
3.5%
길 476
 
2.4%
Other values (262) 6264
31.5%

소재지(지번)
Text

Distinct923
Distinct (%)79.0%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
2023-12-11T02:42:54.884630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length42
Mean length24.100941
Min length4

Characters and Unicode

Total characters28174
Distinct characters255
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique825 ?
Unique (%)70.6%

Sample

1st row대구광역시 동구 율하동 1117번지
2nd row대구광역시 동구 신서동 535번지 8호
3rd row대구광역시 동구 신암동 294번지
4th row대구광역시 동구 신암동 294번지
5th row대구광역시 동구 효목동 544번지 101호
ValueCountFrequency (%)
대구광역시 1168
20.0%
동구 1167
20.0%
신천동 232
 
4.0%
신암동 155
 
2.7%
1호 131
 
2.2%
신서동 111
 
1.9%
율하동 102
 
1.8%
3호 87
 
1.5%
2호 83
 
1.4%
봉무동 80
 
1.4%
Other values (857) 2511
43.1%
2023-12-11T02:42:56.169251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6768
24.0%
동 2424
 
8.6%
구 2392
 
8.5%
지 1281
 
4.5%
대 1258
 
4.5%
역 1185
 
4.2%
시 1181
 
4.2%
번 1176
 
4.2%
광 1169
 
4.1%
1 1135
 
4.0%
Other values (245) 8205
29.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16238
57.6%
Space Separator 6768
24.0%
Decimal Number 5130
 
18.2%
Other Punctuation 13
 
< 0.1%
Uppercase Letter 12
 
< 0.1%
Dash Punctuation 6
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2424
14.9%
구 2392
14.7%
지 1281
7.9%
대 1258
7.7%
역 1185
7.3%
시 1181
7.3%
번 1176
7.2%
광 1169
7.2%
호 881
 
5.4%
신 577
 
3.6%
Other values (219) 2714
16.7%
Decimal Number
ValueCountFrequency (%)
1 1135
22.1%
5 589
11.5%
3 549
10.7%
2 524
10.2%
4 451
 
8.8%
0 445
 
8.7%
8 408
 
8.0%
6 360
 
7.0%
9 349
 
6.8%
7 320
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
B 3
25.0%
G 2
16.7%
V 1
 
8.3%
C 1
 
8.3%
K 1
 
8.3%
S 1
 
8.3%
L 1
 
8.3%
A 1
 
8.3%
T 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
, 7
53.8%
. 6
46.2%
Space Separator
ValueCountFrequency (%)
6768
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16238
57.6%
Common 11923
42.3%
Latin 13
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2424
14.9%
구 2392
14.7%
지 1281
7.9%
대 1258
7.7%
역 1185
7.3%
시 1181
7.3%
번 1176
7.2%
광 1169
7.2%
호 881
 
5.4%
신 577
 
3.6%
Other values (219) 2714
16.7%
Common
ValueCountFrequency (%)
6768
56.8%
1 1135
 
9.5%
5 589
 
4.9%
3 549
 
4.6%
2 524
 
4.4%
4 451
 
3.8%
0 445
 
3.7%
8 408
 
3.4%
6 360
 
3.0%
9 349
 
2.9%
Other values (6) 345
 
2.9%
Latin
ValueCountFrequency (%)
B 3
23.1%
G 2
15.4%
V 1
 
7.7%
C 1
 
7.7%
K 1
 
7.7%
e 1
 
7.7%
S 1
 
7.7%
L 1
 
7.7%
A 1
 
7.7%
T 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16238
57.6%
ASCII 11936
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6768
56.7%
1 1135
 
9.5%
5 589
 
4.9%
3 549
 
4.6%
2 524
 
4.4%
4 451
 
3.8%
0 445
 
3.7%
8 408
 
3.4%
6 360
 
3.0%
9 349
 
2.9%
Other values (16) 358
 
3.0%
Hangul
ValueCountFrequency (%)
동 2424
14.9%
구 2392
14.7%
지 1281
7.9%
대 1258
7.7%
역 1185
7.3%
시 1181
7.3%
번 1176
7.2%
광 1169
7.2%
호 881
 
5.4%
신 577
 
3.6%
Other values (219) 2714
16.7%

연락처
Text

MISSING 

Distinct374
Distinct (%)93.3%
Missing768
Missing (%)65.7%
Memory size9.3 KiB
2023-12-11T02:42:56.792116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.047382
Min length12

Characters and Unicode

Total characters4831
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique363 ?
Unique (%)90.5%

Sample

1st row053-754-0900
2nd row053-256-6288
3rd row053-756-1100
4th row053-794-7590
5th row053-215-8973
ValueCountFrequency (%)
053-941-0019 13
 
3.2%
053-742-2631 4
 
1.0%
053-661-1209 4
 
1.0%
053-665-1052 3
 
0.7%
053-559-2080 2
 
0.5%
053-755-5561 2
 
0.5%
053-959-2277 2
 
0.5%
053-945-2700 2
 
0.5%
070-7801-7552 2
 
0.5%
053-741-8772 2
 
0.5%
Other values (364) 365
91.0%
2023-12-11T02:42:57.692729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 802
16.6%
5 703
14.6%
0 685
14.2%
3 624
12.9%
9 458
9.5%
8 297
 
6.1%
1 273
 
5.7%
7 261
 
5.4%
6 256
 
5.3%
2 243
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4029
83.4%
Dash Punctuation 802
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 703
17.4%
0 685
17.0%
3 624
15.5%
9 458
11.4%
8 297
7.4%
1 273
 
6.8%
7 261
 
6.5%
6 256
 
6.4%
2 243
 
6.0%
4 229
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 802
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4831
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 802
16.6%
5 703
14.6%
0 685
14.2%
3 624
12.9%
9 458
9.5%
8 297
 
6.1%
1 273
 
5.7%
7 261
 
5.4%
6 256
 
5.3%
2 243
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4831
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 802
16.6%
5 703
14.6%
0 685
14.2%
3 624
12.9%
9 458
9.5%
8 297
 
6.1%
1 273
 
5.7%
7 261
 
5.4%
6 256
 
5.3%
2 243
 
5.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
2020-05-15
1169 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-05-15
2nd row2020-05-15
3rd row2020-05-15
4th row2020-05-15
5th row2020-05-15

Common Values

ValueCountFrequency (%)
2020-05-15 1169
100.0%

Length

2023-12-11T02:42:58.045723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:42:58.261250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-05-15 1169
100.0%

Missing values

2023-12-11T02:42:48.947547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:42:49.237243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-11T02:42:49.565577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

업종명업태명업소명소재지(도로명)소재지(지번)연락처데이터기준일자
0휴게음식점과자점던킨도너츠대구롯데마트점대구광역시 동구 안심로 80 (율하동)대구광역시 동구 율하동 1117번지<NA>2020-05-15
1휴게음식점과자점잇브레드(동호점)대구광역시 동구 동호로5길 2 (신서동)대구광역시 동구 신서동 535번지 8호<NA>2020-05-15
2휴게음식점과자점던킨도너츠(DUNKIN DONUTS)대구광역시 동구 동대구로 550, 3층 (신암동, 동대구역)대구광역시 동구 신암동 294번지<NA>2020-05-15
3휴게음식점과자점부산오뎅 호두과자대구광역시 동구 동대구로 550, 3층 (신암동)대구광역시 동구 신암동 294번지<NA>2020-05-15
4휴게음식점기타 휴게음식점황떡동구시장점대구광역시 동구 효목로 20 (효목동,101호)대구광역시 동구 효목동 544번지 101호053-754-09002020-05-15
5휴게음식점기타 휴게음식점본죽송라시장점대구광역시 동구 동부로 19 (신천동)대구광역시 동구 신천동 541번지 32호053-256-62882020-05-15
6휴게음식점기타 휴게음식점엠에이치커피(MH커피)대구광역시 동구 동대구로 418 (신천동)대구광역시 동구 신천동 300번지 4호053-756-11002020-05-15
7휴게음식점기타 휴게음식점시네델리(Cine delly)대구광역시 동구 팔공로49길 16 (봉무동)대구광역시 동구 봉무동 1545번지053-794-75902020-05-15
8휴게음식점기타 휴게음식점쥬시파티(Juicy party)대구광역시 동구 송라로 36, 1층 (신천동)대구광역시 동구 신천동 178번지 1호053-215-89732020-05-15
9휴게음식점기타 휴게음식점메리포핀스대구광역시 동구 국채보상로159길 12, 1층 (신천동)대구광역시 동구 신천동 825번지 2호053-243-73712020-05-15
업종명업태명업소명소재지(도로명)소재지(지번)연락처데이터기준일자
1159휴게음식점편의점세븐일레븐 대구봉무더샵점대구광역시 동구 팔공로51길 15-5, 1층 101,102호 (봉무동)대구광역시 동구 봉무동 1539번지 9호<NA>2020-05-15
1160휴게음식점편의점미니스톱 대구데시앙점대구광역시 동구 반야월북로 123, 상가동 1층 105호 (각산동, 각산 태영 데시앙)대구광역시 동구 각산동 905번지 각산 태영 데시앙<NA>2020-05-15
1161휴게음식점편의점세븐일레븐도동타운점대구광역시 동구 팔공로26길 52, 1층 (도동)대구광역시 동구 도동 1054번지 35호<NA>2020-05-15
1162휴게음식점편의점씨유(CU)대구입석타운대구광역시 동구 동촌로 63, KT 1층 (입석동)대구광역시 동구 입석동 926번지 27호 KT<NA>2020-05-15
1163휴게음식점편의점GS25 뉴대구각산점대구광역시 동구 반야월북로 155, 9동 1층 101,102,103호 (각산동, 성지각산아파트)대구광역시 동구 각산동 389번지 2호 성지각산아파트<NA>2020-05-15
1164휴게음식점푸드트럭톡톡튀김<NA>대구광역시 동구 지저동 1080번지<NA>2020-05-15
1165휴게음식점푸드트럭보스<NA>대구광역시 동구 지저동 1080번지<NA>2020-05-15
1166휴게음식점푸드트럭잇푸드<NA>대구광역시 동구 지저동 741번지<NA>2020-05-15
1167휴게음식점푸드트럭꼬꼬네 강정<NA>대구광역시 동구 검사동 -번지 공군 제11전투비행단<NA>2020-05-15
1168휴게음식점푸드트럭화덕화덕<NA>대구광역시 동구 검사동 -번지 공군 제11전투비행단<NA>2020-05-15

Duplicate rows

Most frequently occurring

업종명업태명업소명소재지(도로명)소재지(지번)연락처데이터기준일자# duplicates
0휴게음식점기타 휴게음식점이조명가카페대구광역시 동구 팔공산로199길 29, 1층 (용수동)대구광역시 동구 용수동 55번지 20호<NA>2020-05-152